Delegated Key-Policy Attribute-Based Set Intersection over Outsourced Encrypted Data Sets for CloudIoT

Author:

Shi Yanfeng1ORCID,Qiu Shuo2ORCID

Affiliation:

1. School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

2. School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, China

Abstract

Private set intersection (PSI) is a fundamental cryptographic primitive, allowing two parties to calculate the intersection of their data sets without exposing additional private information. In cloud-based IoT system, IoT-enabled devices would like to outsource their data sets in their encrypted form to the cloud. In this scenario, how to delegate the set intersection computation over outsourced encrypted data sets to the cloud and how to achieve the fine-grained access control for PSI without divulging any additional information to the cloud are still open problems. With that in mind, in this work, we combine key-policy attribute-based encryption (KP-ABE) and PSI to introduce such a novel concept, called delegated key-policy attribute-based set intersection over outsourced encrypted data sets (KP-ABSI), to solve this problem. Then we propose a first concrete KP-ABSI scheme and analyze its efficiency.

Funder

Nanjing Institute of Technology

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using private set intersection to achieve privacy-preserving authorization for IoT systems;Journal of Information Security and Applications;2024-06

2. Fine Grained Access Control Algorithm for Sensitive Data Based on Deep Learning and Security Domain;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27

3. ERSChain: Towards secure and flexible educational resource sharing using consortium blockchain and revocable ciphertext‐policy attribute‐based encryption;Concurrency and Computation: Practice and Experience;2023-10-23

4. Research on Attribute-Based Privacy-Preserving Computing Technologies;Communications in Computer and Information Science;2023

5. Research on Outsourced PSI Protocols for Privacy Preserving Data Sharing;Communications in Computer and Information Science;2022

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